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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ACP</journal-id><journal-title-group>
    <journal-title>Atmospheric Chemistry and Physics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7324</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-18-9661-2018</article-id><title-group><article-title>Ship-borne aerosol profiling with lidar over the Atlantic Ocean:
from pure marine conditions to complex dust–smoke mixtures</article-title><alt-title>Aerosol profiling over the Atlantic Ocean</alt-title>
      </title-group><?xmltex \runningtitle{Aerosol profiling over the Atlantic Ocean}?><?xmltex \runningauthor{S. Bohlmann et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Bohlmann</surname><given-names>Stephanie</given-names></name>
          <email>stephanie.bohlmann@fmi.fi</email>
        <ext-link>https://orcid.org/0000-0002-1019-4692</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Baars</surname><given-names>Holger</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-2316-8960</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Radenz</surname><given-names>Martin</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-7771-033X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Engelmann</surname><given-names>Ronny</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Macke</surname><given-names>Andreas</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-2550-6641</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Leibniz Institute for Tropospheric Research, Permoserstraße 15, 04318 Leipzig, Germany</institution>
        </aff>
        <aff id="aff2"><label>a</label><institution>now at: Finnish Meteorological Institute, P.O. Box 1627, 70211, Kuopio, Finland</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Stephanie Bohlmann (stephanie.bohlmann@fmi.fi)</corresp></author-notes><pub-date><day>9</day><month>July</month><year>2018</year></pub-date>
      
      <volume>18</volume>
      <issue>13</issue>
      <fpage>9661</fpage><lpage>9679</lpage>
      <history>
        <date date-type="received"><day>19</day><month>January</month><year>2018</year></date>
           <date date-type="rev-request"><day>28</day><month>February</month><year>2018</year></date>
           <date date-type="rev-recd"><day>8</day><month>June</month><year>2018</year></date>
           <date date-type="accepted"><day>8</day><month>June</month><year>2018</year></date>
      </history>
      <permissions>
        
        
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018.html">This article is available from https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018.pdf</self-uri>
      <abstract>
    <p id="d1e123">The multi-wavelength Raman lidar Polly<sup>XT</sup> has been
regularly operated aboard the research vessel <italic>Polarstern</italic> on
expeditions across the Atlantic Ocean from north to south and vice versa. The
lidar measurements of the RV <italic>Polarstern</italic> cruises PS95 from
Bremerhaven, Germany, to Cape Town, Republic of South Africa (November 2015),
and PS98 from Punta Arenas, Chile, to Bremerhaven, Germany (April/May 2016),
are presented and analysed in detail. The latest set-up of
Polly<sup>XT</sup> allows improved coverage of the marine boundary
layer (MBL) due to an additional near-range receiver.</p>
    <p id="d1e138">Three case studies provide an overview of the aerosol detected over the
Atlantic Ocean. In the first case, marine conditions were observed near South
Africa on the autumn cruise PS95. Values of optical properties
(depolarisation ratios close to zero, lidar ratios of 23 sr at 355 and
532 nm) within the MBL indicate pure marine aerosol. A layer of dried marine
aerosol, indicated by an increase of the particle depolarisation ratio to
about 10 % at 355 nm (9 % at 532 nm) and thus confirming the
non-sphericity of these particles, could be detected on top of the MBL. On
the same cruise, an almost pure Saharan dust plume was observed near the
Canary Islands, presented in the second case. The third case deals with
several layers of Saharan dust partly mixed with biomass-burning smoke
measured on PS98 near the Cabo Verde islands. While the MBL was partly mixed
with dust in the pure Saharan dust case, an almost marine MBL was observed in
the third case.</p>
    <p id="d1e141">A statistical analysis showed latitudinal differences in the optical
properties within the MBL, caused by the down-mixing of dust in the tropics
and anthropogenic influences in the northern latitudes, whereas the optical
properties of the MBL in the Southern Hemisphere correlate with typical
marine values. The particle depolarisation ratio of dried marine layers
ranged between 4 and 9 % at 532 nm.</p>
    <p id="d1e144">Night measurements from PS95 and PS98 were used to illustrate the potential
of aerosol classification using lidar ratio, particle depolarisation ratio at
355 and 532 nm, and Ångström exponent. Lidar ratio and particle
depolarisation ratio have been found to be the main indicator for particle
type, whereas the Ångström exponent is rather variable.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p id="d1e154">Aerosols, solid or liquid particles dispersed in air, play an important role
in the Earth's climate system. By scattering and absorbing solar and
terrestrial radiation, aerosols highly affect the radiation fluxes and thus
the radiative budget. In addition to this direct aerosol radiative forcing, aerosols
also modify the microphysical properties of clouds by acting as cloud
condensation or ice nuclei and thereby influence the radiative budget
indirectly <xref ref-type="bibr" rid="bib1.bibx41" id="paren.1"/>. Furthermore, the presence of aerosol particles
influences the lifetime of clouds <xref ref-type="bibr" rid="bib1.bibx2" id="paren.2"/>.</p>
      <p id="d1e163">As the impact of aerosols on the climate system is various, it has
to be considered in climate modelling to receive accurate results,
which is, however, challenging because not all aerosol types
contribute to the aerosol radiative forcing in the same way
<xref ref-type="bibr" rid="bib1.bibx29 bib1.bibx27" id="paren.3"/> and, additionally, information about
global aerosol distributions is rare due to its high spatial and
temporal variability. Thus, uncertainties in aerosol forcing and the
poor understanding of aerosol–cloud interactions represent a large
uncertainty in current climate models despite the progress in
observing<?pagebreak page9662?> and modelling climate-relevant aerosol properties and
atmospheric distributions in the last years <xref ref-type="bibr" rid="bib1.bibx20" id="paren.4"/>. More
information about the horizontal and vertical distribution of
different aerosol types is needed to further improve climate
modelling and prediction and to understand its complex interaction
with the atmosphere. Therefore, the observation of the
spatio-temporal aerosol distribution is an objective in a wide range
of research projects. Apart from satellite observations, most projects concentrate on
observations over land. Since about 70 % of the Earth's surface
is covered by water, aerosols and their distribution have to be
investigated over the oceans as well, even though the investigation
is more challenging.</p>
      <p id="d1e172">Light detection and ranging (lidar) represents a key method to
investigate vertically resolved aerosol properties. Measurements
with high spatial and temporal resolution and under ambient
conditions are possible up to an altitude of 100 km depending on
the lidar set-up <xref ref-type="bibr" rid="bib1.bibx43" id="paren.5"/>. Many institutes all over the
world are performing lidar measurements and create networks as shown
in the 178th GAW report <xref ref-type="bibr" rid="bib1.bibx9" id="paren.6"/>. While the Northern
Hemisphere is well covered with observation sites, there are only a
few lidar stations in the Southern Hemisphere. Over the
oceans, aerosol
measurements are rare and to our knowledge no regular, vertically
resolved measurements allowing aerosol typing are performed from
ground. To close this gap, the OCEANET project was initiated to
investigate the transport of material and energy between the ocean
and atmosphere. The OCEANET project is a collective project of
several German research institutes and combines oceanographic
measurements with atmospheric observations on a ship-borne platform.
It is regularly deployed on research vessels (RV), such as the RV
<italic>Polarstern</italic>. One instrument within the OCEANET facility is
the portable and automated Raman and polarisation lidar system
Polly<sup>XT</sup> <xref ref-type="bibr" rid="bib1.bibx3 bib1.bibx13" id="paren.7"/>. This
lidar system allows aerosol typing and investigations of the
atmosphere up to about 20 km.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p id="d1e192">RV <italic>Polarstern</italic> cruises with Polly<sup>XT</sup>
aboard. Cruise tracks are taken from the Pangaea database
(<uri>https://www.pangaea.de/expeditions/cr.php/Polarstern</uri>, last access: 24
February 2017). Black stars mark the location of the case studies presented
in Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018-f01.pdf"/>

      </fig>

      <?pagebreak page9663?><p id="d1e213">The first cruise with Polly<sup>XT</sup> on the RV <italic>Polarstern</italic>
took place in 2009. Since then, eight cruises have been performed on the RV
<italic>Polarstern</italic> between Bremerhaven and Punta Arenas and between
Bremerhaven and Cape Town until summer 2016, covering almost the whole
north–south extension of the Atlantic Ocean. Typical cruise tracks are shown
in Fig. <xref ref-type="fig" rid="Ch1.F1"/>. These measurements therefore represent a
valuable contribution to the knowledge of distribution and variability of
aerosols over the Atlantic. The first cruises have already been analysed by
<xref ref-type="bibr" rid="bib1.bibx21 bib1.bibx22" id="text.8"/>. Saharan dust and mixtures of biomass-burning
smoke and dust were observed at the west coast of North Africa as well as
Patagonian dust over the South Atlantic. The lidar system used for these
measurements did not cover the lowermost 500–800 m of the troposphere;
therefore, the marine boundary layer (MBL) could not be investigated.
However, the investigation of optical and microphysical properties of pure
marine aerosol is essential, as this knowledge is used in retrievals for
space-borne instruments like CALIPSO <xref ref-type="bibr" rid="bib1.bibx30" id="paren.9"><named-content content-type="pre">Cloud-Aerosol Lidar and Infrared
Pathfinder Satellite Observation,</named-content></xref>, which are able to investigate
aerosols globally and thus also over the ocean but with limited capabilities.
As land-based observations of aerosols mostly do not allow observation of
pure marine conditions, only ship-borne observations are suited to make
detailed studies of the marine environment found over the oceans.
Polly<sup>XT</sup> has been further developed since these first
cruises. The latest set-up <xref ref-type="bibr" rid="bib1.bibx13" id="paren.10"/> possesses now, in addition
to the original capabilities, four near-range channels and depolarisation
measurements at two wavelengths. Due to a new near-range detection unit, the
height of complete overlap between the receiver field of view and laser beam
was reduced from about 1500 to 120 m and now enables measurements close to
the lidar. Observations with this advanced lidar set-up over the ocean offer
the unique opportunity to investigate the MBL in addition to the aerosol
conditions in the free troposphere, which was not possible until now. In this
paper three case studies covering typical aerosol conditions during the
cruises PS95 and PS98 will be discussed to investigate the whole atmospheric
column above the ship. A statistical analysis is presented contrasting the
zonal dependence of the aerosol conditions over the Atlantic. In
Sect. <xref ref-type="sec" rid="Ch1.S2"/> the Raman lidar Polly<sup>XT</sup>, the
aerosol characterisation by optical properties, and the respective data
analysis methods are briefly introduced. Section <xref ref-type="sec" rid="Ch1.S3"/> gives an
overview of the lidar measurements during PS95 and PS98, discusses the case
studies, and shows a statistical analysis of both cruises. In
Sect. <xref ref-type="sec" rid="Ch1.S4"/> the results are summarised.<?xmltex \hack{\newpage}?></p>
</sec>
<sec id="Ch1.S2">
  <title>Instrument and methods</title>
      <p id="d1e259">The lidar measurements during the Atlantic cruises were performed with the
portable Raman and polarisation lidar system
Polly<sup>XT</sup>–OCEANET. A detailed description of the optical
set-up can be found in <xref ref-type="bibr" rid="bib1.bibx3" id="text.11"/> and <xref ref-type="bibr" rid="bib1.bibx13" id="text.12"/>.</p>
      <p id="d1e271">The latest set-up of Polly<sup>XT</sup>–OCEANET enables the
measurement of backscatter coefficient profiles at 355, 532, and 1064 nm and
extinction coefficient profiles at 355 and 532 nm. Furthermore,
depolarisation measurements at 355 and 532 nm are possible. A second
detection unit enables measurements near the lidar at 355 and 532 nm and the
corresponding Raman wavelengths 387 and 607 nm down to about 120 m above
the lidar <xref ref-type="bibr" rid="bib1.bibx13" id="paren.13"/>.</p>
      <p id="d1e280">The backscatter coefficient <inline-formula><mml:math id="M1" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula> describes the amount of the light
backscattered to the lidar at an angle of 180<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. The attenuation of
the emitted light due to absorption and scattering on the way through the
atmosphere is described by the extinction coefficient <inline-formula><mml:math id="M3" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>. The ratio of
extinction to backscatter coefficient is called lidar ratio <inline-formula><mml:math id="M4" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>. As the
extinction is the attenuation of light due to scattering and absorption, the
lidar ratio can be used to determine the absorbing capacity of the
backscattering particles. Absorbing aerosols like soot have a much higher
lidar ratio than non-absorbing particles like sea salt
<xref ref-type="bibr" rid="bib1.bibx25 bib1.bibx16" id="paren.14"/>. The relationship of the backscatter or
extinction coefficient at two wavelengths <inline-formula><mml:math id="M5" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">λ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> as a
function of the ratio of these wavelengths is given by the backscatter or
extinction-related Ångström exponent Å
<xref ref-type="bibr" rid="bib1.bibx4" id="paren.15"/>. It indicates the particle size. Small particles show a
strong wavelength dependence; thus, Å is greater than 1. In
contrast, the scattering on large particles is almost wavelength independent
and Å is approximately zero <xref ref-type="bibr" rid="bib1.bibx12 bib1.bibx25 bib1.bibx8" id="paren.16"/>.</p>
      <p id="d1e345">The emitted laser light of the Polly<sup>XT</sup> lidar is
linear polarised. In the atmosphere, the light is depolarised when
scattered by non-spherical particles like dust or ice crystals. The
detected light therefore contains a cross-polarised component in
addition to the parallel-polarised light and can be detected
separately. The ratio of cross-polarised to parallel-polarised light
backscattered by particles is called particle depolarisation ratio.
If the particles are mainly spherical, the particle depolarisation
ratio is about zero because the linear polarised light has been
returned to the lidar without changing the polarisation state. Non-spherical particles show higher depolarisation
ratios. This quantity therefore enables the determination of the
particle sphericity.</p>
      <p id="d1e352">Ångström exponent, lidar ratio, and depolarisation ratio are
indicators of the aerosol type. By knowing typical values of the lidar ratio,
Ångström exponent, and particle depolarisation ratio, the dominant
particle type can be specified.</p>
      <p id="d1e355">The retrieval of those lidar-derived parameters from
Polly<sup>XT</sup> measurements and the corresponding error
estimation are described in detail by <xref ref-type="bibr" rid="bib1.bibx8" id="text.17"/> and
<xref ref-type="bibr" rid="bib1.bibx13" id="text.18"/> and are based on well established lidar retrievals
<xref ref-type="bibr" rid="bib1.bibx23 bib1.bibx14 bib1.bibx5 bib1.bibx26" id="paren.19"/>. All instrumental
effects (dead-time correction, overlap correction, background
subtraction) have been considered and the high-quality standards of
EARLINET <xref ref-type="bibr" rid="bib1.bibx31" id="paren.20"><named-content content-type="pre">European Aerosol Research Lidar
Network;</named-content></xref> have been applied to characterise the
instrument.</p>
      <p id="d1e375">For the data analysis in this study vertical smoothing lengths between 127
and 457 m were applied depending on the signal-to-noise ratio. Details are
given within the figures. GDAS1 (Global Data Assimilation System) data were used for the data analysis as
soundings upon RV <italic>Polarstern</italic> were only launched once a day during
noon. The marine boundary layer top is determined following the procedure
described in <xref ref-type="bibr" rid="bib1.bibx7" id="text.21"/>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p id="d1e386">Observational overview of the autumn cruise PS95 from Bremerhaven to
Cape Town. Time series of the 500 nm daily mean AOT and daily mean
440–870 nm Ångström exponent derived with Microtops sun-photometer
measurements <bold>(a)</bold>, height–time display of the 1064 nm
range-corrected lidar signal <bold>(b)</bold>, and the volume depolarisation ratio
at 532 nm <bold>(c)</bold>. White bars mark the case studies discussed in
Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>.</p></caption>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018-f02.png"/>

      </fig>

</sec>
<sec id="Ch1.S3">
  <title>Results</title>
<sec id="Ch1.S3.SS1">
  <?xmltex \opttitle{Lidar observations during RV \textit{Polarstern} cruises across the Atlantic}?><title>Lidar observations during RV <italic>Polarstern</italic> cruises across the Atlantic</title>
      <?pagebreak page9664?><p id="d1e421">The temporal development of the range-corrected signal (i.e. the uncalibrated
attenuated backscatter signal) of the autumn transit cruise PS95 is shown in
Fig. <xref ref-type="fig" rid="Ch1.F2"/>b. RV <italic>Polarstern</italic> departed on 29 October 2015
from Bremerhaven (Germany) and arrived on 1 December 2015 at Cape Town
(Republic of South Africa). The first days of this cruise were characterised
by low-level clouds and rain indicated by high signals (white colours). On
9 November (33<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N), the lidar could detect a lofted plume of Saharan
dust above the MBL between 600 m and 3 km height. From 12 November
(24<inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N), increasing depolarisation in the MBL could be observed
(Fig. <xref ref-type="fig" rid="Ch1.F2"/>c) resulting from deposition and down-mixing of dust
from higher altitudes. The dust top height decreased from 2.8 km on
11 November down to 1.5 km on 13 November. About noon on 14 November 2015, a
new dust plume with a lower volume depolarisation ratio and a dust top height
of 3.5 km was observed. RV <italic>Polarstern</italic> steadily moved towards the
equator so that the dust region was left behind in the night from 17 to
18 November (3<inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N). After entering the Southern Hemisphere on
19 November, marine stratocumulus clouds occurred frequently. Around noon on
23 November (10<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S), minor traces of dust between 1 and 4 km could
be observed again. Considering HYSPLIT trajectories (not shown), these
depolarising layers could consist of dust from the Kalahari Desert. From
24 November (12<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S) onwards, the sky was mostly overcast. At the end
of the cruise, on 29 and 30 November, almost pure marine conditions could be
observed. The 500 nm aerosol optical thickness (AOT; Fig 2a), measured
with a Microtops sun photometer, ranged around 0.1 on the Northern
Hemisphere, increased in the dust-influenced northern tropics to around 0.5,
and decreased below 0.1 in the Southern Hemisphere.<?xmltex \hack{\newpage}?></p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p id="d1e483">Same as Fig. <xref ref-type="fig" rid="Ch1.F2"/> but for the spring cruise
PS98 from Punta Arenas to Bremerhaven. Due to the failure of the
1064 nm channel, the 532 nm range-corrected signal is shown in the
middle panel. The white bar indicates the time period of the case study discussed in
Sect. <xref ref-type="sec" rid="Ch1.S3.SS2.SSS3"/>.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018-f03.jpg"/>

        </fig>

      <p id="d1e496">The spring transit cruise PS98 started on 11 April 2016 in Punta
Arenas (Chile) and ended on 11 May 2016 in Bremerhaven. Time series
of the range-corrected signal and volume depolarisation ratio at
532 nm are shown in Fig. <xref ref-type="fig" rid="Ch1.F3"/>. Because of a failure of
the 1064 nm photomultiplier tube (PMT), no measurements at this
wavelength were available. After starting regular measurements in
the night from 12 to 13 April, the weather was dominated by
clouds. In the night from 14 to 15 April (40<inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S), thin
depolarising layers at around 2.5 km could be observed. According
to HYSPLIT backward trajectories (not shown), the air mass
originated from the Patagonian region; thus, the layers could
contain traces of Patagonian dust. Observations on 16 and 17 April
were dominated by low clouds and rain. From 22 April
(12<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S) to 25 April (4<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S), a lofted dust plume
between 1.5 km and 3.5 km height could be detected. Crossing the
Intertropical Convergence Zone (at around 5<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) on the 27
and 28 April, thunderstorms, rain showers, and clouds with low base
heights were predominant. After leaving this region, the lidar
observed Saharan dust above the marine boundary layer again. The
bottom height of the dust layer decreased from 1.5 km on 22 April
down to around 600 m on 30 April. In the afternoon of 1 May
(23<inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N), RV <italic>Polarstern</italic> left the dust region.
After a short stop at the port of Las Palmas (Gran Canaria, Spain)
on 3 May, the cruise was continued towards the European continent
and the aerosol conditions were more and more influenced<?pagebreak page9665?> by
anthropogenic sources. From 6 May onwards, mostly overcast sky with
small cloud gaps was predominant. The AOT at
500 nm (Fig. 3a) showed a similar
zonal behaviour as on the PS95 cruise. The AOT at 500 nm was below
0.1 in the Southern Hemisphere, except for 17 April, and steadily
increased to the maximum of 0.37 on 30 April. After leaving the
dust-influenced region, the AOT ranged between 0.1 and 0.2 in the
Northern Hemisphere.</p>
      <p id="d1e551">Regular cruises across the Atlantic Ocean from north to south in the
northern hemispheric autumn and from south to north in the northern
hemispheric spring provided a large amount of lidar data over the
Atlantic. Dust has been regularly observed in the northern tropics and subtropics west of
the Saharan desert. The AOT at 500 nm, measured with a Microtops
sun photometer, has been slightly higher in
the Northern Hemisphere than in the Southern Hemisphere, which
indicates a higher aerosol load in the former.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p id="d1e556">Marine conditions during PS95: time series of the Microtops
sun-photometer-derived AOT at 500 and 440/870 nm Ångström
exponent <bold>(a)</bold>, 1064 nm range-corrected signal <bold>(b)</bold>, and
532 nm volume depolarisation ratio <bold>(c)</bold>. Vertical white lines
indicate the signal-averaging period for profiles shown in
Fig. <xref ref-type="fig" rid="Ch1.F5"/>. The black star in the cruise map shows the
location of RV <italic>Polarstern</italic> during this period.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018-f04.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p id="d1e581">Profiles averaged for 30 November 2015, 01:15–02:30 UTC.
Backscatter coefficient and depolarisation
ratios are smoothed with
127.5 m vertical length. Extinction coefficients, lidar ratios, and
Ångström exponents are smoothed with 127.5 up to 242 m and
afterwards with 367.5 m. Meteorological data from GDAS1
(30 November 2015, 00:00 UTC) and radio sounding measurements
(29 November 2015, 12:00 UTC) are also presented.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018-f05.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS2">
  <title>Case studies</title>
      <?pagebreak page9666?><p id="d1e596">Three night measurements from PS95 and PS98 were selected to present
typical atmospheric conditions by means of a detailed discussion of
the optical properties in the MBL and in lofted layers. First,
almost pure marine conditions with an overlying dried marine aerosol
layer during the autumn cruise PS95 are discussed. Second, a case
study on the same cruise but with Saharan dust near the Canary
Islands is presented. Third, a case during the spring cruise in 2016
(PS98) with Saharan dust and biomass-burning aerosol mixtures near
the Cabo Verde islands is shown. These three case studies are
marked with black stars on the cruise tracks
(Fig. <xref ref-type="fig" rid="Ch1.F1"/>) and with white
lines in the cruise overviews (Fig. <xref ref-type="fig" rid="Ch1.F2"/>, <xref ref-type="fig" rid="Ch1.F3"/>).</p>
<sec id="Ch1.S3.SS2.SSS1">
  <title>PS95 – marine aerosol conditions</title>
      <p id="d1e610">On 29 and 30 November 2015 at the end of the cruise PS95, clean conditions
could be observed near Cape Town. In this area, the dominant aerosol was of
marine origin according to CALIPSO aerosol classification <xref ref-type="bibr" rid="bib1.bibx30" id="paren.22"/>.</p>
      <p id="d1e616">In Fig. <xref ref-type="fig" rid="Ch1.F4"/>, the time series of the range-corrected
signal at 1064 nm and the volume depolarisation ratio at 532 nm from 29 and
30 November 2015 are shown. Additionally, the AOT at 500 nm and the
Ångström exponent at 440/870 nm by sun-photometer
measurements are shown in the upper panel. Mean AOT at 500 nm of
0.09 <inline-formula><mml:math id="M17" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.01 on 29 November (0.09 <inline-formula><mml:math id="M18" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.02 on 30 November) and an
Ångström exponent of 0.08 <inline-formula><mml:math id="M19" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.02 (0.23 <inline-formula><mml:math id="M20" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.08) clearly
indicate marine conditions for remote oceanic areas, not influenced by
continental aerosol sources. In these regions, the AOT at 500 nm is
typically below 0.1 and the Ångström exponent less than 0.4
<xref ref-type="bibr" rid="bib1.bibx35" id="paren.23"/>.</p>
      <p id="d1e653">The time series of the volume depolarisation
ratio (Fig. 4b) shows a thin layer
of enhanced depolarisation at the top of the MBL at 300–400 m.
This layer consists of dried marine particles and will be discussed
later in this section.</p>
      <p id="d1e656">Mean profiles of the measured optical properties are shown in
Fig. <xref ref-type="fig" rid="Ch1.F5"/> for 30 November 01:15–02:30 UTC. In the right
panel, GDAS1 and radio sounding profiles are<?pagebreak page9667?> shown. The temperature inversion
and decrease of the relative humidity (RH) as well as the strong decrease of the
backscatter signal <xref ref-type="bibr" rid="bib1.bibx7" id="paren.24"/> suggest the MBL top height at about
300 m. Within the MBL, the lidar ratio was 23 <inline-formula><mml:math id="M21" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 sr at 355 and
23 <inline-formula><mml:math id="M22" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 sr at 532 nm, which agrees with results during the second
Aerosol Characterization Experiment ACE-2 <xref ref-type="bibr" rid="bib1.bibx25" id="paren.25"><named-content content-type="pre"><inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">532</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
23 <inline-formula><mml:math id="M24" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 sr;</named-content></xref> and are slightly higher than results of the
Saharan Mineral Dust Experiment SAMUM-2a <xref ref-type="bibr" rid="bib1.bibx16" id="paren.26"><named-content content-type="pre"><inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">532</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> 18 <inline-formula><mml:math id="M26" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4 sr
and <inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">355</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> 18 <inline-formula><mml:math id="M28" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 sr;</named-content></xref>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><caption><p id="d1e744">NOAA HYSPLIT backward trajectories for 4 days ending at the
position of RV <italic>Polarstern</italic> (31.48<inline-formula><mml:math id="M29" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S,
14.51<inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; marked by the black star) on 30 November 2015,
02:00 UTC, at 300, 600, and 1000 m a.g.l.</p></caption>
            <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018-f06.pdf"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p id="d1e776"><bold>(a)</bold> Column-integrated dust concentration (g m<inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>) and
3000 m wind on 11 November 2015, 12:00 UTC, from the BSC-DREAM8b model
(Dust Regional Atmospheric Model), operated by the Barcelona Supercomputing
Center (<uri>http://www.bsc.es/ess/bsc-dust-daily-forecast</uri>, last access: 14
November 2016). <bold>(b)</bold> The 7-day NOAA HYSPLIT backward trajectories ending
at the position of RV <italic>Polarstern</italic> on 11 November 2015, 20:00 UTC
(24.27<inline-formula><mml:math id="M32" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 19.23<inline-formula><mml:math id="M33" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W). The position of RV
<italic>Polarstern</italic> is marked by the black star.</p></caption>
            <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018-f07.png"/>

          </fig>

      <?pagebreak page9668?><p id="d1e827">The special highlight in this case study is the increase of the
depolarisation ratio at the top of the MBL, whereas the lidar ratio
within this layer is low, 16 <inline-formula><mml:math id="M34" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 sr (355 nm) and
13 <inline-formula><mml:math id="M35" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 sr (532 nm). Thus, this layer cannot consist of
biomass-burning aerosol or dust mixtures. The particle
depolarisation ratios at 355 and 532 nm are around zero in the MBL
(large, spherical particles) and increase from 300 to about
450 m, shortly above the MBL top. After this peak, the
depolarisation decreases to about zero again. Considering the
profiles of relative humidity and temperature, a correlation with
the relative humidity is obvious. The relative humidity decreases
from about 90 % near the ground to under 20 % above 600 m.
In the layer the RH is about 50 % according sounding data and
about 40 % according to GDAS1. Simultaneously the temperature
increases. HYSPLIT backward trajectories
(Fig. <xref ref-type="fig" rid="Ch1.F6"/>) indicate that the air
parcels arriving at 300, 600, and 1000 m had only been carried over
the South Atlantic Ocean the last 7 days; thus, it can be assumed
that the air mass contains mostly marine aerosol, e.g. sea salt. Sea
salt aerosol exists as dry particles at low relative humidity. Since
sea salt is hygroscopic, the salt particles absorb water to form
droplets when the RH exceeds the deliquescence relative humidity,
which is around 70–74 % depending on the composition of the sea
salt <xref ref-type="bibr" rid="bib1.bibx36" id="paren.27"/>. If the RH decreases to the crystallisation
relative humidity <xref ref-type="bibr" rid="bib1.bibx36" id="paren.28"><named-content content-type="pre">45–48 %;</named-content></xref>, the particles
crystallise from the droplet. At a RH above the crystallisation
relative humidity, the sea salt particles are in solution with
water and show low values of <inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:mi mathvariant="italic">δ</mml:mi><mml:mo>≈</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> %
<xref ref-type="bibr" rid="bib1.bibx38" id="paren.29"/>. When the RH is below the crystallisation
relative humidity, the sea salt particles crystallise and exist as
non-spherical particles due to the cubic shape of NaCl, the main
constituent of sea salt aerosol <xref ref-type="bibr" rid="bib1.bibx44" id="paren.30"/>. As
non-spherical particles they cause higher depolarisation ratios. In
this case, dried sea-salt particles caused depolarisation ratios up
to 9 % at 532 nm and 10 % at 355 nm. Previous studies
showed similar results. <xref ref-type="bibr" rid="bib1.bibx26" id="text.31"/> measured high
depolarisation ratios (<inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mo>≈</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> %) at 532 nm in the lower
atmosphere associated with sea breeze events in the coastal area of
Tokyo Bay. During the Saharan Aerosol Long-range Transport and
Aerosol-Cloud-Interaction Experiment (SALTRACE) winter campaign 2014 at Barbados,
<xref ref-type="bibr" rid="bib1.bibx18" id="text.32"/> detected an increase of the particle
depolarisation ratio up to 12 % at 355 nm, 15 % at 532 nm,
and 10 % at 1064 nm when the RH drops below 50 %.
<xref ref-type="bibr" rid="bib1.bibx33" id="text.33"/> observed low depolarisation ratios (<inline-formula><mml:math id="M38" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 5 %)
at 532 nm over a wide range of relative humidities, whereas
<inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mtext>par</mml:mtext></mml:msup><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> % was measured at low RH (<inline-formula><mml:math id="M40" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 50 %) in
air masses which had passed over the Pacific Ocean. In a laboratory
chamber experiment, <xref ref-type="bibr" rid="bib1.bibx34" id="text.34"/> found linear depolarisation
ratios at 532 nm of 1 <inline-formula><mml:math id="M41" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1 % for droplets,
8 <inline-formula><mml:math id="M42" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 % for sea salt crystals, and 21 <inline-formula><mml:math id="M43" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 % for
NaCl crystals.</p>
      <p id="d1e947">Thus, we can conclude that marine particles were transported above the MBL
top, dried, and crystallised and therefore cause a high particle
depolarisation ratio even though the backscattering is low compared to the
MBL.</p>
      <p id="d1e950">This case confirms that marine aerosol can cause depolarisation in the lidar
signal when RH is low. Without considering this property of marine aerosol,
aerosol layers above the MBL causing depolarisation may be falsely
classified. Automatic classification algorithms like the ones for CALIPSO,
EarthCARE, and other lidars should take these feature into account, if
relative humidity measurements are available, to not misclassify these
aerosols as, for example, mixed dust.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p id="d1e956">First dust event observed during PS95: time series of the Microtops
sun-photometer-derived AOT (500 nm) and 440/870 nm Ångström
exponent <bold>(a)</bold>, 1064 nm range-corrected signal <bold>(b)</bold>, and
532 nm volume depolarisation ratio <bold>(c)</bold>. Vertical white lines
indicate the signal-averaging period for profiles shown in
Fig. <xref ref-type="fig" rid="Ch1.F9"/>. The black star in the cruise map shows the
location of RV <italic>Polarstern</italic> during this period.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018-f08.png"/>

          </fig>

</sec>
<sec id="Ch1.S3.SS2.SSS2">
  <title>PS95 – Saharan dust</title>
      <p id="d1e985">When RV <italic>Polarstern</italic> approached the Canary Islands during the autumn
cruise 2015, the first dust plume was observed in the evening of 10 November
at around 28<inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. The dust could be measured until 14 November.</p>
      <p id="d1e1000">Figure <xref ref-type="fig" rid="Ch1.F7"/>a presents the column-integrated
concentration on 11 November 2015, 12:00 UTC, from the BSC-DREAM8b
model, operated by the Barcelona Supercomputing Center.
The increased column dust load above the Atlantic at the position of
RV <italic>Polarstern</italic> is illustrated by dark green colour.
According to HYSPLIT backward trajectories
(Fig. <xref ref-type="fig" rid="Ch1.F7"/>b), the air mass measured on
11 November 20:00 UTC originated from the Saharan desert. Only air
masses that arrived at 3 km had been carried also over European
areas in the last 7 days.</p>
      <?pagebreak page9669?><p id="d1e1010">The range-corrected signal at 1064 nm and the 532 nm volume depolarisation
ratio of the first dust plume are shown in Fig. <xref ref-type="fig" rid="Ch1.F8"/>.
Additionally, sun-photometer measurements from 11 and 12 November are given.
The sun-photometer-derived Ångström exponent at 440/870 nm is 0.13
on 11 November and 0.08 for the day after. The daily averaged AOT at 500 nm
for these days is 0.38 (11 November) and 0.58 (12 November). The dust layer
reached heights about 3 to 3.5 km on 11 November and slightly descended
towards 14 November. From 13 November lofted layers between 2 and 3.5 km
with a lower depolarisation ratio than the first dust plume could be
observed.<?xmltex \hack{\newpage}?></p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p id="d1e1018">Profiles averaged for 11 November 2015, 19:30–21:00 UTC. Dust
fraction calculated following <xref ref-type="bibr" rid="bib1.bibx37" id="text.35"/>. Radio sounding profiles from
11 November 2015, 12:00 UTC, and GDAS1 profiles (11 November 2015,
18:00 UTC) are presented in the right panel.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018-f09.png"/>

          </fig>

      <?pagebreak page9670?><p id="d1e1031">Averaged profiles of the measured optical properties and radio
sounding and GDAS1 profiles of temperature and relative humidity are
shown in Fig. <xref ref-type="fig" rid="Ch1.F9"/> for 11 November
19:30–21:00 UTC (white frame in Fig. <xref ref-type="fig" rid="Ch1.F8"/>).
Backscatter profiles show an increased backscatter coefficient at
all wavelengths from the MBL top (around 400 m) up to 2.8 km. The
backscatter coefficient at 532 nm is larger than at 355 nm,
whereas the extinction coefficient is wavelength independent. Even
though this is an atypical spectral behaviour, comparable
observations of higher 532 nm than 355 nm backscatter coefficient
have already been observed in dust layers near the Cabo Verde
islands <xref ref-type="bibr" rid="bib1.bibx32" id="paren.36"/>, in the eastern Mediterranean at
Crete <xref ref-type="bibr" rid="bib1.bibx40" id="paren.37"/>, and during the SHADOW (Study of SaHAran
Dust Over West Africa) campaign in Senegal <xref ref-type="bibr" rid="bib1.bibx42" id="paren.38"/>.
According to <xref ref-type="bibr" rid="bib1.bibx42" id="text.39"/>, this spectral behaviour may be
caused by specific refractive index characteristics induced by the
chemical composition of the particles. The mean lidar ratio at
532 nm (355 nm) in the height of the lofted aerosol layer is
53 <inline-formula><mml:math id="M45" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 sr (61 <inline-formula><mml:math id="M46" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4 sr). The lidar ratio at 355 nm is
higher than at 532 nm, which results from the higher backscatter
coefficient at 532 nm and agrees with values found for dust during
the SHADOW campaign <xref ref-type="bibr" rid="bib1.bibx42" id="paren.40"/>. Consequently, the mean
backscatter-related 355/532 nm Ångström exponent is negative
(<inline-formula><mml:math id="M47" display="inline"><mml:mo lspace="0mm">-</mml:mo></mml:math></inline-formula>0.4 <inline-formula><mml:math id="M48" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1). Negative backscatter-related Ångström
exponents are generally found when scattering properties of dust are
modelled by assuming a spheroidal shape distribution. The values
then typically vary between <inline-formula><mml:math id="M49" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.5 and <inline-formula><mml:math id="M50" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2 depending on the
assumptions of the spectral refractive index and the size and shape
distributions. The extinction-related Ångström exponent at
355/532 nm of 0.1 <inline-formula><mml:math id="M51" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.5 and the backscatter-related
Ångström exponent at 532/1064 nm of 0.4 <inline-formula><mml:math id="M52" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1 are in
good agreement with values for dust measured during SAMUM-2b
<xref ref-type="bibr" rid="bib1.bibx38" id="paren.41"><named-content content-type="pre">Å<inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mtext>ext</mml:mtext><mml:mrow><mml:mn mathvariant="normal">355</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">532</mml:mn></mml:mrow></mml:msubsup><mml:mo>≈</mml:mo></mml:mrow></mml:math></inline-formula> 0.22 <inline-formula><mml:math id="M54" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.27,
Å<inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mtext>bsc</mml:mtext><mml:mrow><mml:mn mathvariant="normal">532</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">1064</mml:mn></mml:mrow></mml:msubsup><mml:mo>≈</mml:mo></mml:mrow></mml:math></inline-formula> 0.45 <inline-formula><mml:math id="M56" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.16;</named-content></xref>.
Furthermore, the aerosol layer between 600 m and 2.8 km is
characterised by a nearly height-constant particle depolarisation
ratio of 29 <inline-formula><mml:math id="M57" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 % at 532 nm and 25 <inline-formula><mml:math id="M58" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 % at
355 nm. The increased particle depolarisation ratios indicate a
non-spherical particle shape and are in good agreement with values
found for pure dust during SAMUM-2a <xref ref-type="bibr" rid="bib1.bibx16 bib1.bibx38" id="paren.42"><named-content content-type="pre"><inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:msubsup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">532</mml:mn><mml:mtext>par</mml:mtext></mml:msubsup><mml:mo>≈</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> % and <inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:msubsup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">355</mml:mn><mml:mtext>par</mml:mtext></mml:msubsup><mml:mo>≈</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:math></inline-formula> %;</named-content></xref>. The fraction of dust and
smoke can be estimated using a method described by
<xref ref-type="bibr" rid="bib1.bibx37" id="text.43"/>. Assuming a <inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:msubsup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">532</mml:mn><mml:mtext>par</mml:mtext></mml:msubsup></mml:mrow></mml:math></inline-formula> of
31 % for pure dust and 5 % for smoke, the fraction of dust
in this layer amounts to over 90 % (Fig. <xref ref-type="fig" rid="Ch1.F9"/>, panel 6) and can
therefore be considered as pure dust.</p>
      <p id="d1e1239">The MBL reached a height of about 400 m according to the backscatter
profile. Lidar ratios at 532 and 355 nm are 30 <inline-formula><mml:math id="M62" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 and
30 <inline-formula><mml:math id="M63" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 sr in the MBL, which are higher than the characteristic values
for marine aerosol (see marine case study Sect. <xref ref-type="sec" rid="Ch1.S3.SS2.SSS1"/>) and
suggest a mixture of marine aerosol with other particles. Particle
depolarisation ratios are also slightly higher, 9 % at 532 nm and
6 % at 355 nm, and indicate the mixing of dust into the MBL. Therefore,
also the MBL is influenced by the frequent dust emission in the Saharan
desert.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><caption><p id="d1e1260">Complex aerosol layering with smoke and dust on PS98:
sun-photometer-derived AOT at 500 and 440/870 nm Ångström
exponent <bold>(a)</bold>, 532 nm range-corrected signal <bold>(b)</bold>, and
volume depolarisation ratio <bold>(c)</bold>. Vertical white lines indicate the
signal-averaging period for profiles shown in Fig. <xref ref-type="fig" rid="Ch1.F11"/>.
The black star in the cruise map shows the location of RV
<italic>Polarstern</italic> during this period.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018-f10.pdf"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11" specific-use="star"><caption><p id="d1e1285">Averaged profiles for 29 April 2016, 20:15–21:00 UTC. Dust and
smoke fractions calculated following <xref ref-type="bibr" rid="bib1.bibx37" id="text.44"/>. Meteorological data
from GDAS1 (29 April 2016, 21:00 UTC) and radio sounding measurements
(29 April 2016, 15:00 UTC). Layers are marked grey.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018-f11.png"/>

          </fig>

</sec>
<sec id="Ch1.S3.SS2.SSS3">
  <title>PS98 – mixed aerosol layers</title>
      <p id="d1e1303">During the spring cruise PS98, extended aerosol layers with enhanced
depolarisation were observed near the Cabo Verde islands. The range-corrected
signal and volume depolarisation ratio at 532 nm as well as Microtops sun-photometer measurements on 29 April 2016 are shown in
Fig. <xref ref-type="fig" rid="Ch1.F10"/>. Sun-photometer measurements determined an average
AOT at 500 nm of 0.23 and an Ångström exponent of 0.9 for
440/870 nm.</p>
      <p id="d1e1308">An increased backscatter coefficient at both wavelengths indicates
aerosol layers between 0.9 and 3 km. These layers are separated
from the MBL, which reached a height of about 500 m according to
the increased backscatter signal and the GDAS1 and radio sounding
data. The mean lidar ratio at 355 nm is 22 <inline-formula><mml:math id="M64" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 sr, the mean
backscatter-related 355/532 nm Ångström exponent is 0.9 <inline-formula><mml:math id="M65" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0,
and the mean particle depolarisation ratios are around zero at both
wavelengths in the MBL. These values are indicators of a pure marine
boundary layer without dust (see marine case,
Sect. <xref ref-type="sec" rid="Ch1.S3.SS2.SSS1"/>).</p>
      <?pagebreak page9671?><p id="d1e1327">Mean profiles of the optical properties averaged from 29 April 2016
between 20:15 and 21:00 UTC are shown in
Fig. <xref ref-type="fig" rid="Ch1.F11"/>. Regarding the backscatter profile,
the aerosol-laden region above the MBL can be divided into five
layers. The layers extend from 0.9 to 1.2, 1.3 to 1.6, 1.7 to 2.2,
2.3 to 2.5, and from 2.6 to 3.0 km and are marked grey in
Fig. <xref ref-type="fig" rid="Ch1.F11"/>. The 532 nm near-range extinction
coefficient and lidar ratio was not reliable because of a
misalignment of the 532 nm near-range channel which does not affect
the Raman backscatter retrievals. The mean lidar ratio in the first
layer is 48 <inline-formula><mml:math id="M66" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4 and 46 <inline-formula><mml:math id="M67" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9 sr at 532 and 355 nm,
respectively. The mean backscatter-related 355/532 nm
Ångström exponent is 0.4 <inline-formula><mml:math id="M68" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1 and ranges between the
typical values of dust (0.16 <inline-formula><mml:math id="M69" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.45, SAMUM-2b) and smoke
<xref ref-type="bibr" rid="bib1.bibx39" id="paren.45"><named-content content-type="pre">0.90 <inline-formula><mml:math id="M70" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.26, SAMUM-2a;</named-content></xref>. The same
applies for the mean particle depolarisation ratio, which is
20 <inline-formula><mml:math id="M71" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 % at 532 nm and 15 <inline-formula><mml:math id="M72" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 % at 355 nm.
These values are in good agreement with values for dust and smoke
mixtures measured during SAMUM-2a
<xref ref-type="bibr" rid="bib1.bibx38" id="paren.46"><named-content content-type="pre"><inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:msubsup><mml:mi mathvariant="italic">δ</mml:mi><mml:mrow><mml:mn mathvariant="normal">355</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">532</mml:mn></mml:mrow><mml:mtext>par</mml:mtext></mml:msubsup><mml:mo>≈</mml:mo></mml:mrow></mml:math></inline-formula> 16 %;</named-content></xref>
and represent a dust fraction of 63 %, applying the method
described by <xref ref-type="bibr" rid="bib1.bibx37" id="text.47"/>, which is shown in
Fig. <xref ref-type="fig" rid="Ch1.F11"/> (panel 6).</p>
      <p id="d1e1419">The second layer extends from 1.3 to 1.6 km. The mean lidar ratio is
57 <inline-formula><mml:math id="M74" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 7 and 63 <inline-formula><mml:math id="M75" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8 sr at 532 and 355 nm, respectively. Mean
backscatter and extinction-related Å at 355/532 nm amount
0.1 <inline-formula><mml:math id="M76" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1 and 0.4 <inline-formula><mml:math id="M77" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2, respectively. The mean particle
depolarisation ratio of 24 <inline-formula><mml:math id="M78" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 % at 532 nm and 19 <inline-formula><mml:math id="M79" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 %
at 355 nm suggests a mixture of depolarising dust and non-depolarising smoke
with a dust fraction of 77 % following <xref ref-type="bibr" rid="bib1.bibx37" id="text.48"/>.</p>
      <p id="d1e1469">In the third layer, the mean lidar ratio is 40 <inline-formula><mml:math id="M80" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6 sr at 532 nm and
50 <inline-formula><mml:math id="M81" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6 sr at 355 nm. The mean backscatter and extinction-related
Å at 355/532 nm is 0.4 <inline-formula><mml:math id="M82" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1 and 1 <inline-formula><mml:math id="M83" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.4, respectively. This
indicates the presence of small, absorbing particles. The particle
depolarisation ratio, 13 <inline-formula><mml:math id="M84" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 % at 532 nm and 9 <inline-formula><mml:math id="M85" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 % at
355 nm, is small compared to the other layers. Therefore, it can be
concluded that this layer contains a significant amount of non-depolarising
particles like smoke. According to <xref ref-type="bibr" rid="bib1.bibx37" id="text.49"/> the fraction of dust
is only around 35 %.</p>
      <p id="d1e1518">Between 2.3 and 2.5 km, in the fourth layer, the particle
depolarisation ratio rises again (18 <inline-formula><mml:math id="M86" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 % at 532 nm,
14 <inline-formula><mml:math id="M87" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 % at 355 nm). The mean lidar ratio is
40 <inline-formula><mml:math id="M88" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 11 sr at 355 nm and 42 <inline-formula><mml:math id="M89" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 sr at 532 nm. The
mean backscatter and extinction-related Å at 355/532 nm is
0.26 <inline-formula><mml:math id="M90" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.06 and 0.08 <inline-formula><mml:math id="M91" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.80. According to <xref ref-type="bibr" rid="bib1.bibx37" id="text.50"/> the fraction of dust in this layer is around
55 %.</p>
      <?pagebreak page9672?><p id="d1e1567">The fifth layer is characterised by a high lidar ratio up to 88 sr at
532 nm and 68 sr at 355 nm and high backscatter and extinction-related
Ångström exponents of 0.4 <inline-formula><mml:math id="M92" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2 and 1.6 <inline-formula><mml:math id="M93" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.6,
respectively. Particle depolarisation ratios decrease with increasing height
and amount around 16 % at 532 nm (13 % at 355 nm) at the lower edge
and 8 % at 532 nm (5 % at 355 nm) at the top. Using the dust–smoke
separation method described by <xref ref-type="bibr" rid="bib1.bibx37" id="text.51"/>, the dust fraction
decreases from 47 to 14 % within this layer.</p>
      <p id="d1e1587">Figure <xref ref-type="fig" rid="Ch1.F12"/> presents the HYSPLIT backward trajectories
for the last 10 days arriving at the position of RV <italic>Polarstern</italic> at
different altitudes. Air masses arriving in the MBL (500 m) had been carried
only over the Atlantic Ocean the last 10 days and therefore contained mostly
marine aerosol. Air masses arriving between 1 and 3 km were advected from
the African continent. The air masses arriving at 1 km height originated
from the Saharan desert and passed over active fire areas south-west of the
Saharan desert 6 days before arriving at the position of RV
<italic>Polarstern</italic>. Trajectories arriving at 1.5 and 2 km also passed over
the Saharan desert and active biomass-burning regions, but have never been
close to the ground. As investigated by <xref ref-type="bibr" rid="bib1.bibx28" id="text.52"/>, fires can
support the upward transport of dust into the free troposphere. A high amount
of dust in addition to biomass-burning aerosol could therefore also be detected in
these altitudes. In contrast, air masses arriving at 2.5 and 3 km were on
ground level over active fire regions for several days and could take up a
high amount of biomass-burning aerosol.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F12"><caption><p id="d1e1603">NOAA HYSPLIT backward trajectories ending at 29 April 2016
21:00 UTC at the position of RV <italic>Polarstern</italic> (15.32<inline-formula><mml:math id="M94" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
22.73<inline-formula><mml:math id="M95" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W; marked by the black star) at different altitudes.
Additionally, fires detected by MODIS on-board the Terra and Aqua satellites
are shown. Fires are accumulated over the 10-day period from 20 to
29 April 2016. Yellow colour indicates a large number of fires, and red dots
indicate a low number of fires in the considered period
(<uri>https://lance.modaps.eosdis.nasa.gov/firemaps</uri>, accessed: 24 February
2017).</p></caption>
            <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018-f12.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F13" specific-use="star"><caption><p id="d1e1639">Mean values of extinction coefficient, lidar ratio and particle
depolarisation ratio at 532 nm, and the backscatter-related Ångström
exponent at 355/532 nm (top down) for MBL (blue), elevated aerosol
layers (black), and dried marine layers (red) on PS95 <bold>(a)</bold> and
PS98 <bold>(b)</bold> from north to south. Error bars indicate the standard
deviation. MBL top height and extent of the elevated layers are shown in the
first row.</p></caption>
            <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018-f13.pdf"/>

          </fig>

      <?pagebreak page9673?><p id="d1e1654">During this night measurement, five layers with different fractions of dust
and smoke could be detected. At the same time, the MBL was almost pure marine
without mixed-in dust or smoke particles. This case study shows that the
MBL is not always influenced by dust and smoke transport and different
aerosol types can occur at the same time above the Atlantic.</p>
</sec>
</sec>
<sec id="Ch1.S3.SS3">
  <title>Statistical analysis</title>
      <p id="d1e1664">A statistical analysis of all Raman measurements with suitable weather
conditions and signal quality was performed to provide an overview of
latitudinal differences and characteristics of the different aerosol types
observed over the Atlantic. A total of 45 night measurements from PS95 and
PS98 were selected for analysis with respect to optical aerosol properties.
Each measurement was screened for separated aerosol layers. The MBL and, when
present, elevated aerosol layers and layers of dried marine aerosol, as
presented in the first case study, have been analysed separately. These
layers with enhanced depolarisation ratio directly above the MBL will be
named dried marine layers.</p>
<sec id="Ch1.S3.SS3.SSS1">
  <title>Time series</title>
      <p id="d1e1672">The MBL top height and the extent of analysed elevated aerosol layers and
dried marine layers are shown in the first row of
Fig. <xref ref-type="fig" rid="Ch1.F13"/> for PS95 (panel a) and PS98 (panel b),
illustrated with blue dots and black and red bars, respectively. The MBL top
height ranges between 300 and 900 m and shows no clear latitudinal trend.
Mean values of extinction coefficient, lidar ratio and particle
depolarisation ratio at 532 nm, and the backscatter-related Ångström
exponent at 355/532 nm are shown in the panels below. Blue dots
illustrate the MBL mean values derived from near-range measurements. Mean
values of the elevated aerosol layers are derived from far-range signals and
are illustrated with black dots, whereas mean values of the dried marine
layers are illustrated red. These mean values are derived from near-range
signals. An exception is the measurement at 22<inline-formula><mml:math id="M96" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S where the
far-range signal is used because of the height of the dried marine layer.
Error bars represent the standard deviation. Measurements at 355 nm are not
shown for the sake of clarity but show similar results.</p>
      <p id="d1e1686">Mean MBL lidar ratios during PS95 are around 25 <inline-formula><mml:math id="M97" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 sr in the
northern latitudes and 20 <inline-formula><mml:math id="M98" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 sr in the Southern Hemisphere.
In the region of dust, between 35<inline-formula><mml:math id="M99" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and the equator, the
mean lidar ratio in the MBL is 30 <inline-formula><mml:math id="M100" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6 sr. The increased lidar
ratio is caused by down-mixing of dust from higher altitudes,
whereas the lidar ratio in the southern latitudes correlates with
pure marine values. Anthropogenic aerosol from the European
continent influences the MBL in northern latitudes; the lidar ratio
is therefore slightly higher than for a pure marine environment.
High particle depolarisation ratios up to 18 % in the MBL
confirm the presence of depolarising particles in the region west of
the Sahara, while it is below 1 % in the European-influenced
North Atlantic and the<?pagebreak page9674?> marine-dominated South Atlantic. During PS98,
no significant increase of the MBL lidar ratio between
35<inline-formula><mml:math id="M101" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and the equator could be observed. The mixing of dust
into the MBL is therefore considered to be
negligible. This is confirmed by
a continuous low particle depolarisation ratio of less than 1 %
in the MBL throughout the whole cruise. This contrast to PS95 can be
explained by seasonal variations in the dust transport and
deposition processes over the Atlantic.</p>
      <p id="d1e1728">Elevated aerosol layers were mainly observed between 30<inline-formula><mml:math id="M102" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N
and 15<inline-formula><mml:math id="M103" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S and show a wide range of mean lidar and particle
depolarisation ratios, caused by different particle types in these
layers. The mean particle depolarisation ratio in elevated layers
decreases from around 30 % at 25<inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N towards the south
during PS95, which suggests an increasing mixing with other less
depolarising particles. At 1 and 12<inline-formula><mml:math id="M105" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S during PS95 and in
the upper aerosol layers at 15 and 19<inline-formula><mml:math id="M106" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N during PS98, the
lidar ratio is higher than the other days (64–88 sr) while the
particle depolarisation is low (<inline-formula><mml:math id="M107" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 10 %). This indicates a
mixture with other absorbing, non-depolarising particles like
biomass-burning aerosol. During PS98 at 5<inline-formula><mml:math id="M108" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, 2500 km from
the African coast, the lidar ratio between 1.5 and 2.4 km is around 35 sr, which is considerably
lower than the characteristic values of pure dust
<xref ref-type="bibr" rid="bib1.bibx38" id="paren.53"><named-content content-type="pre"><inline-formula><mml:math id="M109" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">532</mml:mn></mml:msub><mml:mo>≈</mml:mo></mml:mrow></mml:math></inline-formula> 55 sr;</named-content></xref>. This may
result from marine aerosol transported upward by turbulent mixing
processes <xref ref-type="bibr" rid="bib1.bibx18" id="paren.54"/>.</p>
      <p id="d1e1813">Latitudinal differences can also be seen in the course of the
backscatter-related Ångström exponent at 355/532 nm in the
MBL during PS95. The mean Å<inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mtext>bsc</mml:mtext><mml:mrow><mml:mn mathvariant="normal">355</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">532</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> is around 0
in the dust region, whereas it is around 1 in the northern and 0.5
in southern latitudes. This suggests a mixture of marine aerosol and
large dust particles in the MBL between 35<inline-formula><mml:math id="M111" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and the
equator, whereas in northern and southern mid-latitudes the fraction
of smaller particles dominates. In elevated layers, mean
Å<inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mtext>bsc</mml:mtext><mml:mrow><mml:mn mathvariant="normal">355</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">532</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> ranges between <inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula> and 0.5. From 30
to 20<inline-formula><mml:math id="M114" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, Å<inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mtext>bsc</mml:mtext><mml:mrow><mml:mn mathvariant="normal">355</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">532</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> is negative and in
the second part of the plume it becomes positive. According to
<xref ref-type="bibr" rid="bib1.bibx42" id="text.55"/> a low backscatter-related Ångström
exponent indicates an increased imaginary part of the refractive
index at 355 nm compared to 532 nm and therefore a higher
absorption at 355 nm than at 532 nm. This is a result from
different aerosol sources and particle properties. During the second
cruise, mean Å<inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mtext>bsc</mml:mtext><mml:mrow><mml:mn mathvariant="normal">355</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">532</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> ranges between <inline-formula><mml:math id="M117" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.5 and
1.5. In dusty layers the mean Å is generally smaller than in the
MBL – an exception is the upper layer at 19<inline-formula><mml:math id="M118" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. In this layer, a high amount of
small soot particles cause a high Ångström exponent.
Ångström exponents in the MBL do not show indications of
down-mixed dust during this cruise.</p>
      <p id="d1e1933">The most prominent feature of dried marine layers is the enhanced
particle depolarisation ratio of about 4–9 % compared to the MBL with depolarisation ratios below 3 %. Those values are similar to
previous observations by <xref ref-type="bibr" rid="bib1.bibx26" id="text.56"/> and
<xref ref-type="bibr" rid="bib1.bibx33 bib1.bibx34" id="text.57"/>. Whereas the lidar ratio in the dried
marine layer measured during PS95 is slightly lower than in the MBL,
it is about 40 sr in the case measured during PS98 but shows high
uncertainty in the latter. Mean Ångström exponents are
around 0.5 during PS95 and around 1 during PS98, but do not show a
clear difference from MBL mean values.</p>
      <p id="d1e1942">Differences in optical aerosol properties between northern and southern
latitudes and the dust-influenced region west of the Saharan desert were
detected. Whereas the Northern Hemisphere is influenced by anthropogenic
pollution, southern latitudes are more likely to be influenced by marine
aerosols only. Nevertheless, pure marine conditions, not influenced by
aerosol originating from the continent, are rare and could only be observed
at the end of PS95 near South Africa. Mostly, low-level clouds at the top of the
MBL at the southern latitudes prohibited the lidar data analysis and thus the
evaluation of more cases of pure marine conditions. In about 65 % of the
cruise time in the Southern Hemisphere and 50 % in total during both
cruises, clouds along the cruise track did not allow lidar data analysis.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F14" specific-use="star"><caption><p id="d1e1947">Lidar ratio as a function of the particle depolarisation ratio at
355 nm <bold>(a)</bold> and at 532 nm <bold>(b)</bold> from all analysed MBL
(blue), elevated aerosol layer (black), and dried marine layer (red)
measurements of PS95 and PS98. Coloured ellipses denote the different aerosol
categories.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018-f14.pdf"/>

          </fig>

</sec>
<sec id="Ch1.S3.SS3.SSS2">
  <title>Optical properties for particle typing</title>
      <p id="d1e1968">Mean values of optical properties of the MBL and elevated aerosol layers from
PS95 and PS98 (shown in Fig. <xref ref-type="fig" rid="Ch1.F13"/>) are discussed to
illustrate the potential of aerosol classification using intensive optical
quantities. Similar to classifications shown by <xref ref-type="bibr" rid="bib1.bibx11" id="text.58"/> and
<xref ref-type="bibr" rid="bib1.bibx17" id="text.59"/> the lidar ratio at 355 nm (532 nm) is presented against
the particle depolarisation ratio at 355 nm (532 nm) for elevated layers
(black), MBL (blue), and dried marine layers (red). Error bars were omitted
for the sake of clarity. Coloured ellipses denote the different aerosol
categories.</p>
      <p id="d1e1979">A clear separation of marine and dust-influenced MBL measurements
can be seen. Pure marine MBL measurements show lidar ratios between
13 and 40 sr and particle depolarisation ratios less than 2.5 %
at 355 and 532 nm, whereas the particle depolarisation ratio of
dust-influenced MBL measurements ranges between 5 and 20 %, caused
by a significant amount of non-spherical particles in the MBL. The
lidar ratio within these layers also shows a tendency to higher
values with
increasing particle depolarisation, caused by dust particles.
Elevated aerosol layers can be divided into layers with a high
particle depolarisation ratio (20–30 %) and a lidar ratio of
about 50–60 sr, layers with a lidar ratio between 30 and 75 sr
and a moderate particle depolarisation ratio (<inline-formula><mml:math id="M119" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 20 %), and
layers with a high lidar ratio (<inline-formula><mml:math id="M120" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 80 sr) and a low particle
depolarisation ratio (<inline-formula><mml:math id="M121" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 10 %). The first category is considered
for pure dust cases, whereas the mixing with other non-depolarising
particles is the second category, named dusty mixtures. These
particles could be spherical marine particles or biomass-burning
aerosol. If the lidar ratio is higher than reference values of
pure dust (<inline-formula><mml:math id="M122" display="inline"><mml:mo lspace="0mm">≈</mml:mo></mml:math></inline-formula> 55 sr), the aerosol is considered to be soot;
a lower lidar ratio indicates a mixture with marine particles.
Layers in the third category with lidar ratios greater than 80 sr
and a particle<?pagebreak page9675?> depolarisation lower than 10 % are considered as
smoke dominated. Mean values at 355 and 532 nm show similar
results, although lidar ratios at 355 nm tend to be slightly higher
for all aerosol categories. As clearly seen, some of the mixed
aerosol states do overlap and a clear separation by the lidar ratio
and depolarisation ratio is not possible.</p>
      <p id="d1e2010">Therefore, to complete the picture of particle-type-dependent
optical properties, the backscatter and extinction-related
Ångström exponents at 355/532 nm and the
backscatter-related Ångström exponent at 532/1064 nm are
considered for particle type separation in addition to the lidar and
depolarisation ratio in Fig. <xref ref-type="fig" rid="Ch1.F15"/>. The backscatter
and extinction-related Ångström exponent as a function of
the particle depolarisation ratio (Fig. <xref ref-type="fig" rid="Ch1.F15"/> bottom
face) shows that the Ångström exponent is not a suitable
parameter for the separation of pure marine and dust-influenced MBL,
while a clear separation is possible considering the depolarisation
ratio (pure marine: <inline-formula><mml:math id="M123" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mtext>par</mml:mtext></mml:msup></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M124" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 5 %; aerosol
mixtures in the MBL: 5 % <inline-formula><mml:math id="M125" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M126" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mtext>par</mml:mtext></mml:msup></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M127" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 20 %).
For elevated aerosol layers, a slight tendency towards negative
backscatter-related Ångström exponents at 355/532 nm with
increasing depolarisation ratio values can be seen
(Fig. <xref ref-type="fig" rid="Ch1.F15"/>a, c). The extinction-related
Ångström exponent at both depolarisation wavelengths is more
widely dispersed than the backscatter-related Ångström
exponent but shows similar patterns
(Fig. <xref ref-type="fig" rid="Ch1.F15"/>b, d). In the illustration of the
backscatter-related Ångström exponent at 532/1064 nm
against the particle depolarisation ratio at 532 nm
(Fig. <xref ref-type="fig" rid="Ch1.F15"/>e) no tendency to smaller Ångström
exponents with higher depolarisation ratio of the elevated aerosol
layers can be observed; thus, this parameter is obviously not
suitable for a distinction between the different aerosol types.
Considering the lidar ratio as a function of the backscatter and
extinction-related Ångström exponents
(Fig. <xref ref-type="fig" rid="Ch1.F15"/> right face), it again becomes obvious
that the Ångström exponent is a much less powerful parameter
for aerosol typing in a marine environment compared to the lidar
ratio and depolarisation ratio.</p>
      <p id="d1e2069">Resulting from the preceding investigations, we consider the lidar ratio
together with the particle depolarisation ratio as best indicators for
particle classification above the Atlantic. A clear characteristic in terms
of lidar ratio and Ångström exponent for the dried marine layers is
not visible. Further observations of those layers are needed to get a
comprehensive picture of dried marine aerosol properties.</p>
      <p id="d1e2073">The values presented above might be valuable information for new
aerosol typing schemes needing knowledge from marine areas at the
specific lidar wavelengths as, for example, for the upcoming
EarthCARE mission. The operated lidar will measure at 355 nm but
also requires information on the spectral behaviour of the optical
aerosol properties to obtain radiation closure, which is one goal of
this mission.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F15" specific-use="star"><caption><p id="d1e2078">Three-dimensional illustration of the relation between lidar ratio,
depolarisation ratio, and backscatter and extinction-related Ångström
exponent. Blue dots represent MBL measurements, black dots elevated aerosol
layers, and red dots dried marine layers. Coloured ellipses denote the
different aerosol categories as in Fig. 14.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/9661/2018/acp-18-9661-2018-f15.pdf"/>

          </fig>

</sec>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Conclusions</title>
      <?pagebreak page9676?><p id="d1e2095">Multi-wavelength Raman polarisation lidar measurements from two ship-borne
cruises across the Atlantic Ocean (meridional direction) were analysed.
Pure marine, pure dust, and dust–smoke mixed conditions were observed. The
MBL was often mixed with dust near the equator and northern subtropics,
whereas in the outer tropics the marine influence dominated. One highlight
was the observation of dried marine aerosol at the top of the MBL, which was
relatively often observed during the cruises aboard RV <italic>Polarstern</italic>
but has been rarely reported in literature so far. Dried marine particles
cause particle depolarisation ratios up to 9 % correlated with a
decreasing relative humidity below 50 %. In the northern tropics, west of
the Saharan desert, various aerosol layers could be observed during the
cruises across the Atlantic from north to south in the frame of the OCEANET
project. In addition to a pure Saharan dust plume with a negative
backscatter-related Ångström exponent of <inline-formula><mml:math id="M128" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M129" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1 at
355/532 nm near the Canary Islands, Saharan dust layers partly mixed with
biomass-burning smoke were observed near the Cabo Verde
islands.<?xmltex \hack{\newpage}?></p>
      <p id="d1e2119">A statistical analysis showed latitudinal differences and the potential
for aerosol classification of these cruises. Optical properties in the MBL
were influenced by down-mixing of dust in the tropics and anthropogenic
sources in the northern latitudes. In the Southern Hemisphere, optical
properties of the MBL correlate with typical marine values. The mixing<?pagebreak page9677?> of
dust in the MBL was low, confirmed by a continuous particle depolarisation
ratio of less than 1 % in the MBL in the Southern Hemisphere. On both
cruises, the MBL top never exceeded 900 m. Elevated aerosol layers were
mainly observed in the Northern Hemisphere tropics and reached up to 4 km.
Layers of dried non-spherical marine aerosol on top of the MBL could be
observed only a few times, since, in about 65 % of the time in southern
hemispheric mid-latitudes, low-level clouds prohibited the processing of the
lidar data for aerosol properties.</p>
      <p id="d1e2122">All 45 night measurements from PS95 and PS98 were used to illustrate
dependencies between lidar ratio, particle depolarisation ratio, and
Ångström exponent for the different aerosol types. Lidar ratio and
particle depolarisation ratio are the main indicators for the
characterisation of the particle types observed over the Atlantic, whereas
the Ångström exponent is not a good indicator for aerosol typing.
Marine, dust, and smoke aerosols could be clearly identified with particle
depolarisation and lidar ratio. But care must be taken when layers of dried
marine aerosol occur at the top of the MBL, as the enhanced depolarisation
ratio (4–9 %) could lead to wrong conclusions about the mixing state of
the aerosol by inferring the presence of mineral dust. We therefore
recommend considering the relative humidity and the vertical connection to
the marine boundary layer when
performing aerosol typing over the ocean, e.g. by space-borne lidars such
as CALIOP or EarthCARE.</p>
      <p id="d1e2125">The values obtained increase the knowledge of the aerosol conditions in
marine environments which make 70 % of the Earth's surface. Therefore, the
presented results may also be a valuable contribution for the data analysis
of satellite retrievals, which are the only instruments able to cover this
large part of the Earth at the moment. The obtained data can also be used to
validate and further improve model calculations, for example, by evaluation of the
height of the different aerosol layers. Nevertheless, future studies are
needed to expand the knowledge of dried marine aerosol, its drying processes,
and interactions with aerosols above and within the MBL.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability">

      <p id="d1e2133">Meteorological data of all RV <italic>Polarstern</italic>
cruises are available on the Pangaea database <xref ref-type="bibr" rid="bib1.bibx6" id="paren.60"/>. For
lidar data analysis, GDAS1 (Global Data Assimilation System) height
profiles of the National Weather Service's National Centers for
Environmental Prediction (NCEP) were used <xref ref-type="bibr" rid="bib1.bibx15" id="paren.61"/>.
Trajectories are calculated with the NOAA (National Oceanic and
Atmospheric Administration) HYSPLIT (HYbrid Single-Particle
Lagrangian Integrated Trajectory) model <xref ref-type="bibr" rid="bib1.bibx19" id="paren.62"/>. The fire data detected by MODIS (Moderate Resolution
Imaging Spectroradiometer) that are additionally shown are available at <xref ref-type="bibr" rid="bib1.bibx24" id="text.63"/>.
BSC-DREAM8b model simulations are operated by the Barcelona
Supercomputing Center <xref ref-type="bibr" rid="bib1.bibx10" id="paren.64"/>. AOT data can be downloaded
from the AERONET Maritime Aerosol Network (MAN) database
<xref ref-type="bibr" rid="bib1.bibx1" id="paren.65"/>. The RV <italic>Polarstern</italic> lidar data are
available upon request from TROPOS (please contact polly@tropos.de).</p>
  </notes><notes notes-type="authorcontribution">

      <p id="d1e2164">SB and HB performed the data analysis and led the manuscript writing.
RE, SB, and MR realised the experimental set-up on board the RV
<italic>Polarstern</italic> and were responsible for the lidar measurements.
AM initialised the OCEANET project and the corresponding atmospheric
measurement on board the RV <italic>Polarstern</italic>. All authors have contributed to
the scientific discussion and the manuscript
preparation.</p>
  </notes><notes notes-type="competinginterests">

      <p id="d1e2176">The authors declare that they have no conflict
of interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e2182">The authors acknowledge support through ACTRIS under grant agreement no. 262254
and ACTRIS-2 under grant agreement no. 654109 from the European Union's
Horizon 2020 research and innovation programme. We thank the Alfred Wegener
Institute and the RV <italic>Polarstern</italic> crew for their incredible effort in
making those measurements possible (acknowledgement no. AWI_PS95_00,
AWI_PS98_00). Furthermore, we thank the German Weather Service (DWD) for
their support during the cruises PS95 and PS98 and appreciate the effort of
the AERONET MAN, HYSPLIT, and the Barcelona Supercomputing Center teams to
provide additional data.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?> Edited by: Armin
Sorooshian<?xmltex \hack{\newline}?> Reviewed by: Ali Omar and two anonymous referees</p></ack><ref-list>
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